James Townsend

James Townsend

University College London

H-index: 7

Europe-United Kingdom

About James Townsend

James Townsend, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University College London, specializes in the field of Machine Learning, Optimization, Compression.

His recent articles reflect a diverse array of research interests and contributions to the field:

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs

Entropy Coding of Unordered Data Structures

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding

Compressing multisets with large alphabets

Verified Reversible Programming for Verified Lossless Compression

Parallel neural local lossless compression

Adaptive Optimization with Examplewise Gradients

Improving lossless compression rates via monte carlo bits-back coding

James Townsend Information

University

Position

London

Citations(all)

562

Citations(since 2020)

539

Cited By

167

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

James Townsend Skills & Research Interests

Machine Learning

Optimization

Compression

Top articles of James Townsend

Title

Journal

Author(s)

Publication Date

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs

arXiv preprint arXiv:2305.09705

Daniel Severo

James Townsend

Ashish Khisti

Alireza Makhzani

2023/5/16

Entropy Coding of Unordered Data Structures

Julius Kunze

Daniel Severo

Giulio Zani

Jan-Willem van de Meent

James Townsend

2023/10/13

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding

Daniel Severo

James Townsend

Ashish J Khisti

Alireza Makhzani

2023/7/3

Compressing multisets with large alphabets

IEEE Journal on Selected Areas in Information Theory

Daniel Severo

James Townsend

Ashish Khisti

Alireza Makhzani

Karen Ullrich

2022/12

Verified Reversible Programming for Verified Lossless Compression

arXiv preprint arXiv:2211.09676

James Townsend

Jan-Willem van de Meent

2022/11/2

Parallel neural local lossless compression

arXiv preprint arXiv:2201.05213

Mingtian Zhang

James Townsend

Ning Kang

David Barber

2022/1/13

Adaptive Optimization with Examplewise Gradients

arXiv preprint arXiv:2112.00174

Julius Kunze

James Townsend

David Barber

2021/11/30

Improving lossless compression rates via monte carlo bits-back coding

In International Conference on Machine Learning (ICML) 2021

Yangjun Ruan

Karen Ullrich

Daniel Severo

James Townsend

Ashish Khisti

...

2021/2/22

Lossless compression with latent variable models

arXiv preprint arXiv:2104.10544

James Townsend

2021/4/21

Lossless compression with state space models using bits back coding

arXiv preprint arXiv:2103.10150

James Townsend

Iain Murray

2021/3/18

Your dataset is a multiset and you should compress it like one

Daniel Severo

James Townsend

Ashish J Khisti

Alireza Makhzani

Karen Ullrich

2021/12/8

A tutorial on the range variant of asymmetric numeral systems

James Townsend

2020/1/24

See List of Professors in James Townsend University(University College London)

Co-Authors

H-index: 39
David Barber

David Barber

University College London

H-index: 36
Ashish Khisti

Ashish Khisti

University of Toronto

H-index: 24
Chris J. Maddison

Chris J. Maddison

University of Toronto

H-index: 13
Alireza Makhzani

Alireza Makhzani

University of Toronto

H-index: 10
Sebastian Weichwald

Sebastian Weichwald

Københavns Universitet

H-index: 7
Thomas Bird

Thomas Bird

University College London

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